Geomagnetic aided navigation (GN) is a passive, autonomous, all-time navigation mode. SINS/GN can overcome the defect of the inertial navigation error which accumulated with the integral time. Aiming at the problem of inaccurate establishment of the geomagnetic field model due to the slow change of geomagnetic field, we proposed a neural network aided CKF algorithm by using the idea of state dimension expansion in this paper. The weights of neural network are trained on-line by CKF, and meanwhile, the system model is modified by neural network. Finally, simulation results show that the new algorithm has higher filtering precision than the basic CKF algorithm


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    Titel :

    A Neural Network Aided CKF Algorithm for SINS/GN Integrated Navigation System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Yan, M. A. (Autor:in) / Mengyang, L. I. (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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